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Bayesian Recognition Procedure of Gene Fragments in DNA

机译:DNA中基因片段的贝叶斯识别程序

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摘要

On the basis of instrument of Bayesian approach and Markov chain, the recognition procedure for gene fragments is obtained. The procedure has high percentage of recognition 80-90 % and is simple and effective in computation. The applicability of the 1st order Markov chain to the recognition of gene fragments of genome of an organism Caenorhabditis Elegans is described.
机译:在贝叶斯方法和马尔可夫链的基础上,获得了基因片段的识别程序。该程序具有较高的识别率80-90%,并且计算简单有效。描述了一阶马尔可夫链对识别秀丽隐杆线虫的基因组的基因片段的适用性。

著录项

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  • 作者单位

    Junior researcher of V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev;

    Corresponding member of National Academy of Sciences of Ukraine, doctor in physics and mathematics, professor, head of the department of V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev;

    Doctor in physics and mathematics, professor, head of the department of Dorodnicyn Computing Centre of Russian Academy of Sciences, Moscow;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    recognition procedure; 1st order markov chain; gene fragments; chromosome thread;

    机译:识别程序;一阶马尔可夫链;基因片段染色体线;

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